Machine Learning Engineer

Machine Learning Engineering opportunity

Description:

• Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AIML solutions.
• Design, build, and deploy state of the art AIML models to solve complex business problems.
• Understand key performance levers and metrics to highlight AIML solution operational issues and drive improvement.
• Foster close collaboration with engineers and infrastructure partners to implement robust and scalable solutions.
• Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations.
• Stay updated with the latest trends, technologies, and best practices in AI and GenAI and data engineering.
• Regularly research and present new ideas to improve the team's technical capabilities.
  
  

Skills:

machine learning, pytorch, deep learning, data science, semiconductor equipment, data analysis, computer vision, GenAi, AR/VR, data bricks platform, autonomous vehicles

Additional Skills & Qualifications:

• Industry experience 10+ years BSCS, 5+ years MS/PhD in Computer Science, Statistics, Applied Math, or a related field.
• Expert in AIML modeling, Python, AIML Infrastructure, model deployment and MLOps.
• Experience working in Supply Chain, Operations, or a related field
• End to end GenAI application experience.
• Knowledge in RAG, Prompt Engineering, LoRA and other GenAI techniques.
• Ability to operate independently and lead without authority.
• Superb communication and interpersonal skills.
  
  

Additional relevant skills:

• Methodologies: Spiral, Agile, Waterfall, Lean.
• Programming Language: C++, Python, Shell, SQL, R.
• IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat.
• ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain,
• llama-index,kore.ai.
• DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers.
• BERT, T5, Sentence Transformers, Foundational models.
• Packages: Pandas, NumPy, Spark, Matplotlib, SciPy.
• Cloud Technologies: AWS (EC2, S3, RDS, ECS, Lambda), Azure(VM, Functions, ACR, AKS), Digital Ocean, GCP, Paperspace.
• Database: MySQL, PostgreSQL, MongoDB, ChromaDB, Pinecone, SQLite.
• Web Frameworks and Web Servers/ Deployment.
• Fast API, Flask, Nginx, Gunicorn, Uvicorn, Docker, Kubernetes.
• Miscellaneous Tools and Technologies:
• JIRA, Auto Gluon, GitHub Actions, Github Issues, Datadog, MS Power BI, Postman, Locust, Stream lit, CUDA, cuDNN, TensorRT
• Version Control: Git, GitHub, DVC (Data Version Control)
• Operating Systems: Windows, Linux, Mac
  
  

Experience Level:

Expert Level

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

Diversity, Equity & Inclusion

At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through:

• Hiring diverse talent
• Maintaining an inclusive environment through persistent self-reflection
• Building a culture of care, engagement, and recognition with clear outcomes
• Ensuring growth opportunities for our people
  
  

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [email protected] for other accommodation options.