Senior AI/ML Engineer

Job Description

Title: Senior AI/ML Engineer

Company Name: Spectrum IT Solutions Ltd.

Vacancy: 3

Age: At least 25 years

Job Location: Dhaka

Salary: --

Experience:

• At least 4 years
• The applicants should have experience in the following business area(s): Software Company, IT Enabled Service

• Bachelor/Honors
• Masters

• At least 4 years
• The applicants should have experience in the following business area(s): Software Company, IT Enabled Service

• Age At least 25 years

Overview

Spectrum IT Solutions Ltd. is seeking a seasoned Senior AI/ML Engineer to spearhead the design, development, and deployment of enterprise‑grade AI systems. In this role, you will lead architectural decisions, mentor junior engineers, and collaborate with product and leadership teams to drive large‑scale, agentic‑AI initiatives that deliver measurable business impact.

Key Responsibilities

Technical Leadership & Strategy:

• Define and articulate the technical roadmap for AI/ML products, aligning with business goals.

• Evaluate emerging AI technologies and frameworks; recommend adoption strategies and proof‑of‑concepts.

Architecture & System Design:

• Architect highly scalable, fault‑tolerant agentic AI workflows and microservice ecosystems.

• Establish best practices for model versioning, deployment patterns (blue/green, canary), and rollback strategies.

Model Development & Optimization:

• Lead advanced NLP/LLM fine‑tuning, Retrieval‑Augmented Generation (RAG) systems, and multi‑agent orchestration.

• Drive performance tuning of ASR/TTS pipelines (e.g., Whisper, Kaldi, Tacotron) for real‑time, low‑latency voice interactions.

Data & MLOps Pipeline Ownership:

• Oversee design of robust data ingestion, feature engineering, and labeling frameworks at scale.

• Implement end‑to‑end CI/CD and CI/CT workflows for ML assets using tools like Jenkins, GitHub Actions, and MLflow.

Production Monitoring & Reliability:

• Define SLAs/SLIs for AI services; integrate monitoring (Prometheus, Grafana) and automated drift detection.

• Lead incident response, root‑cause analysis, and post‑mortems for AI system failures.

Team Mentorship & Collaboration:

• Mentor and coach mid/junior‑level engineers; lead code reviews and design discussions.

• Partner with DevOps, product managers, and stakeholders to translate requirements into deliverables.Educational Requirements

  • B.Sc. or M.Sc. in Computer Science, Artificial Intelligence, Machine Learning, or a related field from a recognized university.

  • Advanced certifications (e.g., TensorFlow Developer Certificate, AWS/Azure ML Specialty) are a plus.

  
  

  Must‑Have Skills & Experience

  • 4–5+ years in AI/ML engineering with demonstrable leadership of production deployments.

  • Expert in Python and core ML libraries (PyTorch, TensorFlow, Hugging Face Transformers).

  • Proven experience architecting and monitoring multi‑agent AI systems and orchestrated workflows.

  • Deep expertise in tokenization, embeddings, sequence modeling, ASR, and TTS integration.

  • Strong background in designing scalable ETL/ELT pipelines; proficient with SQL, NoSQL, and big‑data tools (Spark, Kafka).

  • Hands‑on with containerization (Docker), orchestration (Kubernetes), and serverless platforms (AWS Lambda, Azure Functions, GCP Cloud Run).

  • Skilled in CI/CD for ML, model registry/versioning (MLflow, DVC), observability (Prometheus, Grafana), and automated retraining.

  
  

  Additional Requirements

  • Strong problem‑solving and architectural design skills.

  • Excellent communication and stakeholder management—able to distill complex technical topics for diverse audiences.

  • Familiarity with reinforcement learning (e.g., RLHF) or sequential decision‑making frameworks is desirable.

  • Experience with conversational AI platforms (LangChain, Rasa, Dialogflow) or telephony integrations (Twilio, SIP) is a plus.

  
  

  Why Join Us?

  • Lead transformative AI initiatives with significant autonomy and ownership.

  • Competitive benefits package including:

  • Fully Subsidized Lunch

  • Travel Allowance

  • Two Performance Bonuses Per Year

  • Yearly Salary Review

  • Collaborative, growth‑driven culture emphasizing continuous learning and innovation.

• Tour allowance
• Lunch Facilities: Full Subsidize
• Salary Review: Yearly
• Festival Bonus: 2