Company name: ​    Blackstraw.ai

Office location: ​      Chennai

Job Type:​                   Full-time

Experience:​             4 to 8 years

Job Description:

We are looking for a passionate and skilled AI/ML Engineer to join our team, focusing on cutting
edge solutions in vector search, embeddings, and semantic similarity. In this role, you will
design, develop, and optimize intelligent search systems that leverage state-of-the-art machine
learning and deep learning techniques. You will collaborate with cross-functional teams to build
scalable and efficient solutions that transform how we retrieve and process information.

Key Responsibilities:

• Develop and Optimize Vector Search Systems: Implement advanced vector-based search
  algorithms using frameworks like FAISS, Milvus, Weaviate, or Pinecone to enable
  high-performance retrieval systems.
• Design Semantic Search Solutions: Apply semantic similarity techniques to enable
  precise and context-aware search experiences.
• Research and Experimentation: Stay updated on advancements in NLP, ANN
  (Approximate Nearest Neighbor) search, and embedding models; experiment with new
  tools and techniques to improve system performance.
• Collaboration and Documentation: Collaborate with data scientists, backend engineers,
  and product teams, and document methodologies and findings effectively

Required Qualifications and Skills:

• Machine Learning Expertise: Hands-on experience with ML frameworks
• NLP Knowledge: Strong understanding of natural language processing, embeddings,
  and transformer-based models (e.g., BERT, RoBERTa, GPT).
• Vector Search Tools: Proficiency in tools like FAISS, Milvus, Pinecone, or other
  ANN libraries.
• Search Algorithms: In-depth knowledge of similarity search techniques, including cosine
  similarity, dot-product scoring, and clustering methods.
• Programming Skills: Strong coding abilities in Python (experience with libraries like
  NumPy, Pandas, Scikit-learn, Hugging Face Transformers, etc.).
• Cloud/DevOps Knowledge: Familiarity with cloud platforms (Azure) and
  containerization/orchestration tools like Docker and Kubernetes.
• Experience with hybrid search techniques combining traditional search (e.g.,
  Elasticsearch, Solr) and vector search.
• Knowledge of vector quantization techniques for optimized storage and retrieval.
• Background in information retrieval, knowledge graphs, or recommendation systems.

Key Traits :

• Should have excellent communication skills.
• Should be self motivated and willing to work as part of a team.
• Should be able to collaborate and coordinate with offshore and onshore teams.
• Be a problem solver and be proactive to solve the challenges that come his/her way.

Company Profile:

Blackstraw.ai is an end-to-end technology services company specializing in Artificial Intelligence (AI) and Engineering solutions across Data Science, Data Engineering, LLM/GenAI and LLMOps.

Founded in 2018, we help global enterprises across North America, Europe and Asia  build and operationalize AI systems that create measurable business impact. Our mission is to make AI adoption simpler, faster and scalable through a blend of deep domain expertise, reusable accelerators and proven engineering practices.

With a 450+ strong team of engineers, data scientists and AI specialists, we partner with organizations to deliver real-world outcomes in areas such as predictive analytics, computer vision, natural language processing and Generative AI.

At Blackstraw.ai, we’re passionate about solving complex business challenges through intelligent automation, modern data architectures and next-gen AI applications enabling enterprises to move from AI experimentation to transformation.

Headquartered in Florida (USA) with operations in Canada and India, Blackstraw.ai continues to empower global enterprises to unlock the true potential of AI.