Data Scientist , AI /Machine Learning Engineer
Location
Nilanga | India
Job description
Experience: 5.00+ years
Salary : Open to any budget (based on experience)
Expected Notice Period : 30 Days
Shift : (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type : Hybrid (Bengaluru)
Placement Type : Full-time Permanent position(Payroll and Compliance to be managed by: Altimetrik)
(*Note: This is a requirement for one of Uplers' client - Altimetrik) What do you need for this opportunity Primary Skills: Computer Vision, Keras, software design patterns, Deep Learning, Generative AI, Pytorch, TensorFlow, AWS, Azure, GCP, Machine Learning, NLP, Python, SQL
Altimetrik is Looking for: Mode of Work: Onsite -(Hybrid -2 Days)
at Bangalore, Chennai, Pune, Jaipur OR Hyderabad Location - Pune: No. 2A/1, Ground Floor, Tower B, Tech Park One Survey No, '1 91, Hissa, 2, Airport Rd, Yerawada, Pune, Maharashtra 411006
- Bangalore Altimetrik India Pvt. Ltd. # 7-P, 93-P, West,, Electronic City, Bengaluru, Karnataka 560100
- Chennai- 4th floor, Unit3&4, Phase-II, Crest, Ascendas International Tech Park, CSIR Rd, Tharamani, Chennai, Tamil Nadu 600113
- Hyderabad - Sy no 83/1, SKYVIEW 10, The Skyview, CoWrks, 2nd Floor, Hitech City Main Rd, Rai Durg, Hyderabad, Telangana 500081
- Jaipur-6th Floor, North Block, World Trade Park,JLN Marg Malviya Nagar, Jaipur -302017 Rajasthan
Roles And Responsibilities Machine Learning and AI Development: - Apply advanced machine learning techniques to solve complex business problems.
- Develop, implement, and maintain machine learning models in Python.
- Utilize Generative AI models such as Chat GPT, GPT-4, LlaMA, Vicuna for various applications.
NLP Expertise: - Leverage Natural Language Processing (NLP) skills for tasks including sentiment analysis, text summarization, and question-answering.
- Stay updated with the latest advancements in NLP and incorporate them into the existing workflow.
Deep Learning and Computer Vision: - Demonstrate deep knowledge of machine learning techniques, including linear algebra and statistics.
- Apply expertise in object detection, tracking, semantic or instance segmentation in computer vision projects.
- Programming and Software Design:
- Exhibit proficiency in Python and SQL for data analysis and manipulation.
- Implement software design patterns to write abstract, reusable, and modular code for machine learning models.
Deep Learning Frameworks: - Utilize at least one deep learning framework, such as TensorFlow, PyTorch, Caffe, or Keras, for model development and deployment.
Cloud Computing: - Work with at least one cloud provider solution (AWS, GCP, Azure) for scalable and efficient deployment of machine learning models.
Containerization and Orchestration: - Demonstrate relevant working experience with Docker and Kubernetes, contributing to the deployment and scaling of machine learning applications.
Agile Development: - Collaborate effectively within an AGILE development team, contributing to sprints, reviews, and adapting to changing project requirements.
Prototyping and Creative Problem-Solving: - Quickly prototype ideas and apply creative approaches to solve complex problems in the field of AI and machine learning.
Communication and Presentation: - Exhibit excellent communication and presentation skills, effectively conveying complex technical concepts to both technical and non-technical stakeholders.
Analytical and Problem-Solving Skills: - Showcase outstanding analytical and problem-solving skills, contributing to the continuous improvement of machine learning models and processes.
This Role Requires: - Mandatory skills: Machine Learning, Python, NLP, Generative AI
- 5 to 9 years of experience as Data Scientist - AI /Machine Learning Engineering role
- Minimum 4 years relevant experience on Machine Learning, Python and 2 to 3 Yrs relevant experience on NLP and 1 year of relevant experience on Generative AI is mandatory.
- Proficient in Python and SQL
- Strong experience with Generative AI (e.g. Chat GPT, GPT-4, LlaMA, Vicuna)
- Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, Keras)
- Experience with at least one cloud provider solution (AWS, GCP, Azure)
- Working knowledge of NLP techniques for sentiment analysis, text summarisation, question-answering
- Deep knowledge of ML techniques, including linear algebra and statistics
- Understanding of object detection,tracking, semantic or instance segmentation in computer vision
- Proficient in software design patterns (e.g. writing abstract, reusable, and modular code)
- Relevant working experience with Docker and Kubernetes is a big plus
- Ability to quickly prototype ideas and solve complex problems by adapting creative approaches
Salary Discussion: The final Salary offer will get released based on your overall experience, Interview Performance and current CTC
Industry Standard: 30% to 40% should expect on the current CTC. You can negotiate the salary with the client directly.
Engagement Type: Full Time Employee (Permanent) on Client's Payroll
How to apply for this opportunity - Register or login on our portal & fill out the application form.
- Clear the given AI Screening (30 min) and Click on 'Apply' to get shortlisted
- Once it's all done, your profile will be shared with the client for the Interview round.
- When selected, just meet the client and get your exciting career started!
About our Client - Altimetrik: Altimetrik is a data and digital engineering services company focused on delivering business outcomes with an agile, product-oriented approach. Our digital business methodology provides a blueprint to develop, scale, and launch new products to market faster. Our team of 5,500+ practitioners with software, data, cloud engineering skills help create a culture of innovation and agility that optimizes team performance, modernizes technology, and builds new business models. As a strategic partner and catalyst, Altimetrik quickly delivers results without disruption to the business.
About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Job tags
Salary
