Structure your AI/ML team the way that best fits your roadmap.
A full AI/ML pod — data scientist, ML engineer, and MLOps specialist — embedded in your product cycle for ongoing model development and iteration.
Get a QuoteEmbed vetted AI/ML engineers into your existing data or engineering team within 72 hours. Ideal for specific model development phases or research sprints.
Get a QuoteFixed-scope AI/ML delivery — from data preparation through model training, evaluation, and production deployment — with milestone-based billing.
Get a QuoteFour proof points that make Arka the preferred AI/ML talent partner.
AI/ML developers are screened on statistics fundamentals, model selection, hyperparameter tuning, MLOps pipelines, and real-world dataset problem solving.
Since 2010, Arka has delivered AI solutions across predictive analytics, NLP, computer vision, recommendation engines, and generative AI for enterprise clients.
From contract to developer with access to your data environment and experiment tracking platform in 72 hours — data governance agreements handled upfront.
Every AI/ML developer signs NDA and data processing agreements before accessing any dataset, model, or business intelligence system.
Our AI/ML developers cover the full spectrum from classical ML to generative AI in production.
TensorFlow 2.x, PyTorch, scikit-learn, XGBoost, LightGBM — for classification, regression, clustering, and deep learning.
OpenAI API, Anthropic Claude, Hugging Face Transformers, LangChain, LlamaIndex — RAG pipelines, fine-tuning, and prompt engineering.
OpenCV, YOLO, detectron2, MediaPipe — object detection, image classification, OCR, and video analytics pipelines.
spaCy, NLTK, Whisper, Wav2Vec — text classification, entity extraction, sentiment analysis, and voice-to-text applications.
MLflow, DVC, Weights & Biases, Kubeflow, SageMaker — experiment tracking, model registry, and automated retraining pipelines.
Spark, Databricks, Snowflake, BigQuery, AWS S3/SageMaker, GCP Vertex AI — scalable data infrastructure for ML at scale.
Describe your AI use case — prediction, classification, NLP, generative AI — along with data availability, team size, and project timeline.
We curate AI/ML developer profiles matching your domain and stack, with research papers, Kaggle rankings, or production deployment evidence.
Run your own domain-specific technical interview. Approve the hire and onboarding begins that business day.
Join 500+ happy clients building intelligent products with Arka. Offices in Dallas, London, Dubai, Jaipur, and Brisbane.
Start Hiring TodayData scientists focus on exploratory data analysis, feature engineering, and model experimentation. ML engineers productionise those models — building training pipelines, API serving layers, monitoring, and automated retraining. We can provide either role or a combined profile depending on your project stage.
Not always. Our AI/ML developers are experienced with transfer learning and few-shot techniques that leverage pre-trained models on small proprietary datasets. We assess your data situation during discovery and recommend the most viable approach before any commitment.
Yes. Our engineers are certified across AWS (SageMaker, EC2, S3), GCP (Vertex AI, BigQuery), and Azure (Machine Learning Studio). We adapt to your existing data governance policies, VPC configurations, and security controls.
We establish baseline metrics and business KPIs at project kick-off. Model performance is tracked via experiment tracking tools (MLflow, W&B) and validated against holdout test sets. Production models are monitored for data drift and retrained on a schedule agreed with your team.
Book a free 30-minute strategy call with our team. No sales pitch — just a frank conversation about your project.
Or Get in touch
Loading...
Share your idea with us. We'll respond within 24 hours with a tailored plan, timeline, and cost estimate — no strings attached.
We'll send a detailed proposal within 24 hours
We're committed to delivering transformative solutions on time and on budget.
Arka's Promise of Trust →